Air Quality Governance in the ENPI East Countries Training on emission inventories The EMEP/EEA Guidebook General chapters January, 2014, Chișin ă u, Republic of Moldova

Outline General introduction to the EMEP/EEA Guidebook Data Collection – general guidance Time Series Consistency Inventory Management QA/QC Improvements

General introduction to the EMEP/EEA Guidebook (1) GB the latest version of the guidebook – will be formally endorsed by the EMEP Executive Body in December 2013 – guidebook-2013 GB 2013 will be translated to Russian hopefully before May 2014 GB 2009 – the previous version - is available in Russian –

General introduction to the EMEP/EEA Guidebook (2) General guidance chapters – Key category analysis and methodological choice – Data Collection – Time Series Consistency – Uncertainties – Inventory Management, Improvement and QA/QC – Spatial mapping of emissions – Projections

Data Collection – general guidance Focus on the largest sources Collect data at a level of detail appropriate to the method used (increasing level of detail from Tier 1 to Tier 3) Introduce agreements with data suppliers to support consistent and continuing information flows Aim to do data collection activities that lead to a continuous improvement of the data sets used in the inventory – resource prioritisation, planning, implementation, documentation, etc. Review data collection activities and methodological needs on a regular basis, to guide inventory improvement Prefer data that are available for all years in the time-series and that cover all or the majority of the sources in a category

Data Collection – data sources National Statistics Agencies Sectoral experts, stakeholder organisations Other country national experts / inventory reports from other parties Emission Factor collections – EMEP/EEA GB, – TNO’s CEPMEIP Database, – USA EPA’s AP42, International organisations publishing statistics – e.g. UN, Eurostat, the International Energy Agency, OECD, and IMF Scientific and technical articles in environmental books, journals and reports Web search for organisations and specialists

Time Series Consistency (1) All emissions estimates in a time series should be estimated consistently – the time series should be calculated using the same method and data sources in all years, as far as possible Adding new categories (sources and/or pollutants) requires calculation for the entire time-series Emission factors might change for the time-series due to e.g. technological improvements and abatement equipment

Time Series Consistency (2) Data gaps: – If data are updated less frequently than annually – If data doesn’t cover all sources in a category – If changes in data availability Solutions to data gaps – gap-filling interpolation extrapolation surrogate data – expert judgement if no other way out !

Time Series Consistency (3)

Time Series Consistency (4) Consistent overlapInconsistent overlap

Inventory Management Clear inventory process – Dataflow; strong and continuous – Timeliness; data agreements Institutional arrangements – Formal agreements deadlines data formats contact persons

QA/QC

Improvements Key category analysis and methodological choice – A good tool to prioritise the effort for different sources Uncertainties, Spatial mapping of emissions, and Projections – Tools to make the inventory more useful to policy makers, air quality modellers, health scientists etc. Uncertainty estimates – Combination of key category analysis and uncertainty to identify sources that need improvements

Thank you for your attention